STAT 3303: Bayesian Analysis and Statistical Decision Making

November 13, 2015

Introduction to concepts and methods for making decisions in the presence of uncertainty. Topics include: formulation of decision problems and quantification of their components; learning about unknown features of a decision problem based on data via Bayesian analysis; characterizing and finding optimal decisions. Techniques and computational methods for practical implementation are presented.
Prereq: C- or above in 3301, or permission of instructor.

Credit Hours: 
3.0


To find course availability and times, please visit the Ohio State Course Catalog and Master Schedule.